Jason E Black
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Explore the profile of Jason E Black including associated specialties, affiliations and a list of published articles.
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11
Citations
44
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Recent Articles
1.
King T, Rennert-May E, Somayaji R, Leal J, Black J, Conly J, et al.
JAC Antimicrob Resist
. 2024 Oct;
6(5):dlae157.
PMID: 39478986
Objectives: We evaluated the costs of susceptible and resistant bloodstream infections (BSIs) in adults. Secondary outcomes were the impact of BSI on length of stay (LOS), readmissions and death. Methods:...
2.
Black J, Campbell D, Ronksley P, McBrien K, Williamson T
Can J Diabetes
. 2024 Aug;
48(8):487-492.e3.
PMID: 39134119
Objectives: In Canada, regional evaluations of screening practices for chronic kidney disease (CKD) among people with diabetes highlight areas for improvement; however, national estimates are notably absent. Estimates of CKD...
3.
Ratzki-Leewing A, Black J, Kahkoska A, Ryan B, Zou G, Klar N, et al.
Diabetes Obes Metab
. 2023 Sep;
25(12):3736-3747.
PMID: 37700692
Aims: Among adults with insulin- and/or secretagogue-treated diabetes in the United States, very little is known about the real-world descriptive epidemiology of iatrogenic severe (level 3) hypoglycaemia. Addressing this gap,...
4.
Ratzki-Leewing A, Black J, Ryan B, Zou G, Klar N, Webster-Bogaert S, et al.
Diabetes Obes Metab
. 2023 Jul;
25(10):2910-2927.
PMID: 37409569
Aims: We aimed to develop and internally validate a real-world prognostic model for Level 3 hypoglycaemia risk compatible with outpatient care in the United States. Materials And Methods: iNPHORM is...
5.
Black J, Harris S, Ryan B, Zou G, Ratzki-Leewing A
Diabetes Ther
. 2023 Jun;
14(8):1299-1317.
PMID: 37270453
Introduction: Second-generation basal insulin analogues have been shown to reduce hypoglycemia in several trials and observational studies of select populations; however, it remains unclear whether these results persist in real-world...
6.
Black J, Kueper J, Williamson T
Fam Pract
. 2022 Oct;
40(1):200-204.
PMID: 36181463
Classification and prediction tasks are common in health research. With the increasing availability of vast health data repositories (e.g. electronic medical record databases) and advances in computing power, traditional statistical...
7.
Ratzki-Leewing A, Black J, Ryan B, Harris S
Endocrinol Diabetes Metab
. 2022 Jun;
5(4):e342.
PMID: 35644866
Introduction: Americans with diabetes are clinically vulnerable to worse COVID-19 outcomes; thus, insight into how to prevent infection is imperative. Using longitudinal, prospective data from the real-world iNPHORM study, we...
8.
Ratzki-Leewing A, Ryan B, Zou G, Webster-Bogaert S, Black J, Stirling K, et al.
JMIR Res Protoc
. 2022 Jan;
11(2):e33726.
PMID: 35025756
Background: Hypoglycemia prognostic models contingent on prospective, self-reported survey data offer a powerful avenue for determining real-world event susceptibility and interventional targets. Objective: This protocol describes the design and implementation...
9.
Ratzki-Leewing A, Ryan B, Buchenberger J, Dickens J, Black J, Harris S
BMJ Open
. 2021 Sep;
11(9):e049782.
PMID: 34475174
Main Objective: To determine how and to what extent COVID-19 has affected real-world, self-reported glycaemic management in Americans with type 1 or type 2 diabetes taking insulin and/or secretagogues, with...
10.
Black J, Kueper J, Terry A, Lizotte D
Int J Popul Data Sci
. 2021 May;
6(1):1395.
PMID: 34007897
Introduction: The ability to estimate risk of multimorbidity will provide valuable information to patients and primary care practitioners in their preventative efforts. Current methods for prognostic prediction modelling are insufficient...